Sean J. Huls

Photon-Counting Detector 4D CT for Preoperative Localization in Primary Hyperparathyroidism

Sean J. Huls, Miller MD, Lifeng Yu, Joel G. Fletcher et autres

BACKGROUND AND PURPOSE: Accurate preoperative localization of abnormal parathyroid tissue is essential for successful minimally invasive parathyroidectomy. Conventional imaging with ultrasound and Tc-99m sestamibi scintigraphy can be limited, particularly in ectopic disease. This study evaluated the performance of photon-counting detector CT (PCD-CT) …

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Clinical Significance of incidental findings of thyroid nodules with increased PSMA-uptake on PET

Esref Alperen Bayraktar, Leandi Krüger, Trond Velde Bogsrud, Sean J. Huls et autres

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Prediction of neuropathology using the FDG‐PET based patient similarity network

Gemeng Zhang, Leland Barnard, Hugo Botha, Nick Corriveau‐Lecavalier et autres

BACKGROUND: Neuropathologic evaluation is essential for diagnosing and treating dementia, but definitive diagnoses is only available after post-mortem brain autopsy. Positron emission tomography (PET) offers a potential in vivo proxy for predicting neuropathology. This study proposes a semi-supervised learning (SSL) model using …

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An FDG-PET–Based Machine Learning Framework to Support Neurologic Decision-Making in Alzheimer Disease and Related Disorders

Leland Barnard, Hugo Botha, Nick Corriveau‐Lecavalier, Jonathan Graff‐Radford et autres

BACKGROUND AND OBJECTIVES: Distinguishing neurodegenerative diseases is a challenging task requiring neurologic expertise. Clinical decision support systems (CDSSs) powered by machine learning (ML) and artificial intelligence can assist with complex diagnostic tasks by augmenting user capabilities, but workflow integration poses many challenges. …

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Impact of Photon-counting Detector Computed Tomography on a Quantitative Interstitial Lung Disease Machine Learning Model

Chi Wan Koo, Sean J. Huls, Francis Baffour, Cynthia H. McCollough et autres

PURPOSE: Compare the impact of photon-counting detector computed tomography (PCD-CT) to conventional CT on an interstitial lung disease (ILD) quantitative machine learning (QML) model. MATERIALS AND METHODS: A QML model analyzed 52 CT exams from patients who underwent same-day conventional and PCD-CT …

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Reply:

Sean J. Huls, Darya P. Shlapak, Dong Kun Kim, Shuai Leng et autres

Thank you for such a thoughtful and timely letter. It certainly brings up important and actively researched points of myelographic contrast timing and the preferred study for CSF leak detection (particularly, CSF-venous fistulas). We do agree with Drs Mamlouk and Shen on …

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Clinical practice in prostate PET imaging

Sean J. Huls, Brian J. Burkett, Eric C. Ehman, Val J. Lowe et autres

Positron emission tomography (PET) imaging in prostate cancer has advanced significantly in the past decade with prostate cancer targeted radiopharmaceuticals now playing a growing role in diagnosis, staging, and treatment. This narrative review focuses on the most commonly used PET radiopharmaceuticals in …

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Utility of Dual-Energy CT to Improve Diagnosis of CSF Leaks on CT Myelography following Lateral Decubitus Digital Subtraction Myelography with Negative Findings

Sean J. Huls, Darya P. Shlapak, Dong Kun Kim, Shuai Leng et autres

CSF leaks, including CSF-venous fistulas, which cause spontaneous intracranial hypotension, remain difficult to diagnose, even on digital subtraction myelography and CT myelography. Dual-energy CT technology has been used to improve diagnostic utility within multiple organ systems. The capability of dual-energy CT to …

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